tHE science : Validation
Initial validation results with research partners show significant correlations of nutrient intake between Diet ID and:
This work supports the high predictability of Diet ID and demonstrates its value is a rapid and reliable measure of diet quality in diverse populations.
A Note about Validation of Dietary Assessment Methods
Accurate, routine, and scalable dietary intake assessment is notoriously
challenging. The tools in common use — 24-hour recall, and semi-
quantitative food frequency questionnaire — are limited in a
variety of ways, including accuracy. Finally, the performance of human
recollection of detail in general is notoriously unreliable.
These factors are key considerations in assessing and validating the
performance of new approaches. How closely does one want to correlate
with very imperfect tools, adopted into routine use before the current
standards for “evidence-based” practice had evolved?
Some correlation with the tools currently in use is desirable to indicate that
a new method can be used to do the same job. However, that correlation
should not be too strong- because perfect correlation with imperfect tools
indicates shared flaws.
As we compare and contrast the Diet ID method (diet quality photo
navigation, patent pending) to established methods, we expect to see
significant, but only moderate correlations. Those are the results we have
observed.
We are also interested in the nature of divergence. For instance, 24-hour
recalls are known to underestimate energy (calorie) intake, and
overestimate diet quality. We expect Diet ID to diverge by showing higher
energy intake, and lower diet quality- and that is just what we’ve seen.
The validation agenda continues now with assessment of Diet ID against
biomarkers, where early findings suggest stronger performance than recall-
based methods.
Review and evaluation of the validation of a novel approach to dietary
intake assessment should be informed by a clear understanding of the
limitations of the tools currently in use — and the related limitations involved
in using these as a reference standard.
DIET ID VS 24-HR RECALL
Research Institution
Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
Abstract
Citation
Turner-McGrievy, G, Hutto, B, Bernhart, JA, Wilson, MJ. (2021). Comparison of the Diet ID platform to the automated self-administered 24-hour (ASA24) dietary assessment tool for assessment of dietary intake. Journal of the American College of Nutrition, Mar 11,1-23
Significant correlations between Diet ID and ASA24 recall for Healthy Eating Index (HEI) score, protein, carbohydrates, cholesterol, potassium, copper, thiamin, and vitamins B12 and E.
Results
Press Release
DIET ID VS FOOD FREQUENCY QUESTIONNAIRE
Research Institution
Boston Heart Diagnostics, Framingham, MA
Abstract
Citation
Katz DL, Rhee LQ, Katz CS, Aronson DL, Frank GC, Gardner CD, Willett WC, Dansinger ML. Dietary assessment can be based on pattern recognition rather than recall. Med Hypotheses. 2020 Feb 26;140:109644. doi: 10.1016/j.mehy.2020.109644]
Results
Diet ID vs FFQ statistically significant for Diet Quality using the Healthy Eating Index 2010 & Alternate Healthy Eating Index 2010. Diet ID User completion rate was 5 times faster than FFQ.
Press Release
DIET ID VS FOOD RECORD & FFQ
RESEARCH INSTITUTION
Diet ID, Inc
ABSTRACT
CITATION
Bernstein AM, Rhee LQ, Njike VY, Katz DL. Dietary Assessment by Pattern Recognition: a Comparative Analysis. Curr Dev Nutr. 2023 Sep 11;7(10):101999. doi: 10.1016/j.cdnut.2023.101999. PMID: 37807976; PMCID: PMC10550800.
RESULTS
The DQPN assessment, completed in a fraction of the time required by traditional methods, exhibited robust correlations with them in terms of overall diet quality as measured by the Healthy Eating Index 2015. The methods also showed significant correlations in the intake of key foods and nutrients, including vegetables, fruits, whole grains, sodium, added sugar, and fiber. Test-retest reliability of DQPN was also found to be strong.
PRESS RELEASE
DIET ID VS 24-HR RECALL, PLASMA CAROTENOID CONCENTRATIONS, AND SKIN CAROTENOID SCORES
Research Institution
University of California, Davis
Abstract
Citation
Radtke, M.D.; Chodur, G.M.; Bissell, M.C.S.; Kemp, L.C.; Medici, V.; Steinberg, F.M.; Scherr, R.E. Validation of Diet ID™ in Predicting Nutrient Intake Compared to Dietary Recalls, Skin Carotenoid Scores, and Plasma Carotenoids in University Students. Nutrients 2023, 15, 409. https://doi.org/10.3390/nu15020409
Results
There were significant correlations between Diet ID™ and NDSR for diet quality, calories, carbohydrates, protein, fiber, and cholesterol. Vitamin A and carotenoid intake were significantly correlated, with the exception of -carotene and lycopene. Significant correlations were observed for calcium, folate, iron, sodium, potassium, Vitamins B2, B3, B6, C, and E. Skin carotenoid scores and plasma carotenoids were correlated with carotenoid intake from Diet ID™.
Press Release
DIET ID VS CARDIOMETABOLIC BIOMARKERS
Research Institution
Boston Heart Diagnostics, Framingham, MA
Abstract
Citation
Dansinger ML, Breton GL, Joly JE, Rhee LQ, Katz DL. Rapid, Digital Dietary Assessment in Association with Cardiometabolic Biomarkers. American Journal of Health Promotion. 2023;0(0). doi:10.1177/08901171231156513
Results
Both continuous and ordinal measures of diet quality correlated significantly with HDL-C and triglycerides; with hs-CRP; with HgbA1c; with fasting insulin; and with HOMA-IR. Findings affirm that rapid, digital diet quality and composition assessment by pattern recognition rather than recall tracks significantly with key biomarkers of cardiometabolic health.
Press Release
Other validation studies are currently underway. If you are interested in collaborating with Diet ID on a validation study, please email us at info@dietid.com.
Diet ID is trusted by the following researchers and institutions:
Arnold School of Public Health, University of South Carolina - Brie Turner-McGrievy PhD, RD
Center for BrainHealth, University of Texas at Dallas
Corporate Wellness Nutrition
Department of Epidemiology and Biostatistics, Michigan State University
Department of Nutrition, University of California, Davis
Department of Psychology, Stanford University
Food and Addiction, Science & Treatment Lab (Ann Arbor, MI), Investigator - Ashley Gearhart, PhD, Lab Director
Jefferson Health/Thomas Jefferson University, Center for Connected Care
Mild TBI and Diet, Department of Physical Medicine & Rehabilitation, University of Washington
REACH study, Henry Ford Health System, Michigan
Stanford Division of Immunology and Rheumatology
Research Topics & Study Populations include:
Brain Health
Cancer
Diabetes
Employee Wellness
Executive Function
Food Addiction
Food Security
High-Risk Pregnancy
Post-Partum Pregnancy
Mild TBI
Nutrition Intervention
Sleep & Well-Being
Stress
University Students
Diet quality is objectively measured using the Healthy Eating Index (HEI) 2020, the most robustly researched and validated tool for measuring diet quality. Based on the Dietary Guidelines for Americans, HEI is particularly useful as it correlates strongly to disease risk and projected healthcare costs. Diet quality is stratified among all diet types and is represented visually as well as quantitatively. Visit this page for more about the HEI.
The unique 3-day menu plans are represented by comprehensive, quantifiable data and easily recognizable visuals of foods and portions most representative of each diet. Diet TYPE and diet QUALITY are uniquely illustrated in each of the 100+ diet types, providing the user with ample options for best match.
